Division IT Manager
Illinois Tool Works
- Location
- Sidcup - Edgington Way
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 10 approvals (FY2023)
- Posted
- Sep 2, 2026
Skills
About this role
Job Description
Position Overview The Division IT Manager is responsible for leading the end-to-end IT transformation and operations across a globally distributed, multi-site organization, ensuring IT is a scalable enabler of growth, efficiency, and decision-making. The role operates within a complex delivery model, managing a combination of: Global IT leaders (Infrastructure/Cyber and Data/Applications) Regional IT resources (Europe, China) Multiple MSPs across regions Success requires the ability to lead through influence, structure, and governance—not direct execution alone. The IT Manager must transform a fragmented IT landscape into a standardized, data-driven and secure environment, aligned with: Current Divisional IT roadmap ERP standardization (Acumatica) Data platform evolution Cyber and infrastructure modernization Organizational Scope & Team Leadership The Division IT Manager leads a hybrid global IT team, including: Direct / Functional Leadership 1 Global Infrastructure, IT Operations & Cyber Security Manager 1 Global Data Analyst (evolving into Data & Business Applications Lead) Regional IT Resources 2 IT resources in Slovenia (applications, ERP support, operations) 1 IT Specialist in China External Delivery Model with multiple MSPs and contractors across: North America, UK, Italy, Bulgaria, New Zealand and Slovenia Leadership Expectations The Division IT Manager must: Define clear roles, responsibilities, and accountability model across all resources Eliminate overlap and inefficiencies currently visible across IT activities Establish a scalable “hub-and-spoke” IT operating model Drive alignment between: Internal IT, Segment IT, MSP partners Ensure: global consistency, local responsiveness where needed, cost-efficient delivery in line with ITW principles.
Core Responsibilities
1. IT Strategy, Governance & Operating Model Own the division IT strategy and ITW Front-to-Back execution roadmap Establish a clear IT operating model across global and regional teams Define governance across: data, ERP, Cyber, Infrastructure Implement structured reporting and performance tracking across all IT layers Ensure strict adherence to 80/20 prioritization discipline 2. ERP Modernization Leadership (Global Accountability) Lead the global Acumatica rollout across all sites Govern ERP standardization, eliminating: legacy systems, site-specific deviations Ensure ERP becomes: Single source of truth for core business processes Foundation for data and analytics Supervise execution through: Data/App Lead Regional IT resources 3. Data & Business Applications Leadership ( Critical Capability ) Elevate the Data Analyst role (part of the IT team) into a Data & Applications capability leader, providing direction, prioritization, and technical guidance Define and enforce: Data governance and ownership model Enterprise data architecture principles Standardized KPI and reporting framework Lead the design and evolution of the divisional data platform, ensuring: Integration of data across ERP (Acumatica), supply chain, and shop floor systems Elimination of siloed and spreadsheet-based reporting Creation of a single, reliable data foundation for decision making Drive adoption and standardization of key technologies: Power BI as the standard for data visualization and business reporting Modern data platforms (i.e. Microsoft Fabric, Snowflake or equivalent) for: Data ingestion Transformation Storage and analytics APIs and integration frameworks to enable scalable and maintainable system connectivity Python (or equivalent) for: Data engineering Automation Advanced analytics use cases Ensure the Data function delivers practical, business-relevant use cases, including: Forecasting improvement (ML-driven where appropriate) Supply chain and operational visibility Financial and operational KPI standardization Act as functional leader of Data expertise, with the expectation to: Guide, coach, and grow a Data expert within the team Maintain sufficient